Research Article

Critical Factors Analysis of Severe Traffic Accidents Based on Bayesian Network in China

Table 7

The conditional probability of the number of injuries for the single-vehicle traffic accident.

Factor variablesResult variables
Number of deathsNumber of injuries
10  number of deaths 1920  number of deaths 29Number of deaths 3010  number of deaths 1920  number of deaths 29Number of deaths 30

OverloadYes0.34420.30570.35020.17870.64250.1787
No0.35410.29980.34610.54390.30330.1529

Mislane useYes0.26870.47530.25600.59260.16590.2415
No0.33210.41790.25000.57690.16800.2551

Commuter bus involvedYes0.34930.30290.34780.61140.16340.2252
No0.35810.29800.34390.61180.16330.2249

Heavy truck involvedYes0.36300.29440.34250.58590.16680.2473
No0.29140.32870.37990.57880.16770.2535

Poor brakingYes0.35810.29770.34430.58250.16720.2502
No0.35340.30000.34660.57690.16800.2551

Straight alignmentday0.40520.45090.14390.57750.16790.2546
Night0.36560.62660.00780.57870.16760.2525

Physical separationYes0.36410.29310.34270.57990.16830.2571
No0.36020.29540.34440.57460.72250.0521

Occurring periodday0.36460.29310.34240.58450.16700.2485
Night0.36080.29510.34410.57260.16860.2588

WorkdayYes0.39910.34810.25280.58050.16750.2520
No0.26140.62090.11770.57840.16780.2538

Poor weatherYes0.36780.29170.34050.59450.16560.2399
No0.36370.29450.34180.59810.16520.2368